Triple
T14700935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Hugh Calum Laurie |
E345292
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Jo Green |
E345295
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jo Green | Statement: [James Hugh Calum Laurie, spouse, Jo Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jo Green Context triple: [James Hugh Calum Laurie, spouse, Jo Green]
-
A.
Jo Green
chosen
Jo Green is a British theatre administrator best known as the longtime wife of actor and comedian Hugh Laurie.
-
B.
Jo Green
Jo Green is a fictional character played by actress Mackenzie Foy, best known from her role in the film "The Nutcracker and the Four Realms."
-
C.
Bammie Green
Bammie Green was the husband of American actress Anne Francis, known primarily in connection with her personal life rather than for a public career of his own.
-
D.
Joan Templeman
Joan Templeman is the longtime partner and wife of British entrepreneur Sir Richard Branson, known for her low public profile despite her association with the Virgin Group founder.
-
E.
Karen Morley
Karen Morley was an American film actress of the 1930s, best known for her roles in pre-Code Hollywood crime dramas and social-themed films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb605f5948190ab6b20887c4b6833 |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0841da48190991d5045954a32ab |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:28 a.m.